Endometriosis fertility index: the new, validated endometriosis staging system
Open accessAbstract
Objective To develop a clinical tool that predicts pregnancy rates (PRs) in patients with surgically documented endometriosis who attempt non-IVF conception.Design Prospective data collection on 579 patients and comprehensive statistical analysis to derive a new staging system--the endometriosis fertility index (EFI)--from data rather than a priori assumptions, followed by testing the EFI prospectively on 222 additional patients for correlation of predicted and actual outcomes.Setting Private reproductive endocrinology practice.Patient(s) A total of 801 consecutively diagnosed and treated infertile patients with endometriosis.Intervention(s) Surgical diagnosis and treatment followed by non-IVF fertility management.Main outcome measure(s) The EFI and life table PRs.Result(s) A statistically significant variable used to create the EFI was the least function score (i.e., the sum of those scores determined intraoperatively after surgical intervention that describe the function of the tube, fimbria, and ovary on both sides). Sensitivity analysis showed that the EFI varies little, even with variation in the assignment of functional scores, and predicted PRs.Conclusion(s) The EFI is a simple, robust, and validated clinical tool that predicts PRs after endometriosis surgical staging. Its use provides reassurance to those patients with good prognoses and avoids wasted time and treatment for those with poor prognoses.
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The EFI is a simple, robust, and validated clinical tool that provides reassurance to those patients with good prognoses and avoids wasting time and treatment for those with poor prognoses.
“The EFI is a simple, robust, and validated clinical tool that provides reassurance to those patients with good prognoses and avoids wasting time and treatment for those with poor prognoses.”
From Defining Future Directions for Endometriosis Research: Workshop Report From the 2011 World Congress of Endometriosis in Montpellier, France (2013) · cites this paper as [27]
The endometriosis fertility index (EFI) is a clinical tool that predicts pregnancy rates in patients with surgically documented endometriosis who attempt non-in vitro fertilization conception.
“The endometriosis fertility index (EFI) is a clinical tool that predicts pregnancy rates in patients with surgically documented endometriosis who attempt non-in vitro fertilization conception.27”
From Defining Future Directions for Endometriosis Research: Workshop Report From the 2011 World Congress of Endometriosis in Montpellier, France (2013) · cites this paper as [27]
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- Authors
- Adamson, G. D., & Pasta, D. J.
- Corresponding author
- Adamson, G. David
- Venue
- Fertility and Sterility
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 94
- Issue
- 5
- Pages
- 1609-1615
- ISSN
- 0015-0282 (ISSN-L)
- OpenAlex
- W2135591988
- Cited by
- 483
- References
- 21
- Citations by year
- 2026: 40 · 2025: 41 · 2024: 46 · 2023: 28 · 2022: 60 · 2021: 37 · 2020: 38 · 2019: 23 · 2018: 28 · 2017: 30 · 2016: 18 · 2015: 25 · 2014: 16 · 2013: 15 · 2012: 15
- FWCI
- 14.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Fertility and Sterility (publishedVersion)
- PubMed (publishedVersion)
- Funders
- EMD Serono
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
- Health Sciences › Medicine › Obstetrics and Gynecology › Gynecological conditions and treatments
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ectopic Pregnancy Diagnosis and Management
- Keywords
- Endometriosis Fertility Index, endometriosis staging, endometriosis-associated infertility, pregnancy rate prediction, surgical staging, ovarian function, fallopian tube function, prognostic tools
- MeSH terms
- Adolescent, Adult, Endometriosis, Endometrium, Female, Humans, Infertility, Female, Predictive Value of Tests, Pregnancy, Prognosis, Prospective Studies, Retrospective Studies, Sensitivity and Specificity, Severity of Illness Index, Uterine Diseases, Proportional Hazards Models, Pregnancy Rate, Young Adult
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